01-java前言、入门程序、变量、常量
- 能够计算二进制和十进制数之间的互转
- 能够使用常见的DOS命令
- 理解Java语言的跨平台实现原理
- jvm是运行java程序的假想计算机,所有的java程序都运行在它上面。java编写的软件可以运行在任何操作系统上,这被称为java跨平台特性,是由jvm实现的,java程序运行在jvm上,jvm运行在操作系统上
- 理解JDK和JRE的组成和作用-
- jre是java程序的运行环境,jdk是程序开发工具包,包含了jre和开发工具
- 能够配置环境变量JAVA_HOME
- 能够编写HelloWorld程序编译并执行
- 理解关键字的含义
- 理解标识符的含义
- 能够定义出所有类型的常量
- 理解Java中的基本数据类型分类
- 能够定义8种基本数据集类型的变量
1.Java语言概述
- 什么是java?
- java是一门面向对象编程语言,吸收了C/C++的优点,摒弃了C/C++复杂的指针等内容,也不需要用户手动释放内存空间。java本身还具备了很强的可移植性,通过将源代码编译成二进制字节码,然后通过不同平台的java虚拟机来解释执行字节码,从而实行了“一次编译,到处执行”的跨平台特性。
- java语言能做什么?
- Java语言主要应用在互联网程序的开发领域。常见的互联网程序比如天猫、京东、物流系统、网银系统等,以及服 务器后台处理大数据的存储、查询、数据挖掘等也有很多应用。
2.计算机基础知识
- 二进制,计算机全部采用二进制来表示
- 二进制转换为十进制:使用除以2获取余数的方式,但是从下面读取数据
- 十进制转换为二进制:使用8421编码
- 字节:计算机中最小的存储单元,8个bit为1个字节,表示为1byte或者1B
- 8 bit = 1 B
- 1024 B =1 KB
- 1024 KB =1 MB
- 1024 MB =1 GB
- 1024 GB = 1 TB
3.常用DOS命令(命令行窗口命令)
- 命令 操作符号
- 盘符切换命令 盘符名:
- 查看当前文件夹 dir
- 进入文件夹命令 cd 文件夹名
- 退出文件夹命令 cd..
- 退出到磁盘根目录 cd\
- 清屏 cls
4.java虚拟机--JVM
- JVM(Java Virtual Machine ):Java虚拟机,简称JVM,是运行所有Java程序的假想计算机,是Java程序的 运行环境,是Java 具吸引力的特性之一。我们编写的Java代码,都运行在 JVM 之上。
- 跨平台:任何软件的运行,都必须要运行在操作系统之上,而我们用Java编写的软件可以运行在任何的操作系 统上,这个特性称为Java语言的跨平台特性。该特性是由JVM实现的,我们编写的程序运行在JVM上,而JVM 运行在操作系统上。
5.JRE和JDK
- JRE (Java Runtime Environment) :是Java程序的运行时环境,包含 JVM 和运行时所需要的 核心类库
- JDK (Java Development Kit):是Java程序开发工具包,包含 JRE 和开发人员使用的工具。
- 三者关系: JDK > JRE > JVM
6.程序开发步骤
- java程序开发三步骤:编写、编译、运行
7.入门程序说明
- 编译和运行的区别
- 编译:是指将我们编写的Java源文件翻译成JVM认识的class文件,在这个过程中, javac 编译器会检查我们 所写的程序是否有错误,有错误就会提示出来,如果没有错误就会编译成功。
- 运行:是指将 class文件 交给JVM去运行,此时JVM就会去执行我们编写的程序了。
- 关于main方法
- main方法:称为主方法。写法是固定格式不可以更改。main方法是程序的入口点或起始点,无论我们编写多 少程序,JVM在运行的时候,都会从main方法这里开始执行。
8.添加注释comment
- 注释:就是对代码的解释和说明。其目的是让人们能够更加轻松地了解代码。为代码添加注释,是十分必须 要的,它不影响程序的编译和运行
- Java中有单行注释和多行注释
- 单行注释以 //开头 换行结束
- 多行注释以 /*开头 以*/结束
9.关键字keywords和标识符
- 关键字:是指在程序中,Java已经定义好的单词,具有特殊含义。 HelloWorld案例中,出现的关键字有 public 、 class 、 static 、 void 等,这些单词已经被 Java定义好,全部都是小写字母,
- 标识符:是指在程序中,我们自己定义内容。比如类的名字、方法的名字和变量的名字等等,都是标识符。 HelloWorld案例中,出现的标识符有类名字 HelloWorld 。
- 命名规则: 硬性要求
- 标识符可以包含 英文字母26个(区分大小写) 、 0-9数字 、 $(美元符号) 和 _(下划线) 。
- 标识符不能以数字开头。
- 标识符不能是关键字。
- 命名规范: 软性建议
- 类名规范:首字母大写,后面每个单词首字母大写(大驼峰式)。
- 方法名规范: 首字母小写,后面每个单词首字母大写(小驼峰式)。
- 变量名规范:全部小写。
10. 常量
- 什么是常量:是指在Java程序中固定不变的数据。
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" 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11.变量和数据类型
- 变量概述:在程序中可以变化的量称为变量。Java中要求一个变量每次只能保存一个数据,必须要明确保存的数据类型。
- 数据类型
- 数据类型分类
- 基本数据类型:包括 整数 、 浮点数 、 字符 、 布尔 。
- 引用数据类型:包括 类 、 数组 、 接口 。
- 基本数据类型
- 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" alt="" />
- 变量的定义
- 变量定义的格式包括三个要素: 数据类型 、 变量名 、 数据值 。
- 格式:数据类型 变量名 = 数据值
- 注意:
- 变量名称:在同一个大括号范围内,变量的名字不可以相同。
- 变量赋值:定义的变量,不赋值不能使用。
12.课后练习
# 基础题目: ## 第一题 * 按步骤编写代码,效果如图所示: ![](img\1.jpg) * 编写步骤: 1. 定义类 Test1
2. 定义 main方法
3. 控制台输出5行字符串类型常量值
4. 控制台输出5行字符类型常量值 * 参考答案: ```java
public class Test1 {
public static void main(String[] args) { // 控制台输出任意5行字符串类型常量值
System.out.println("善学如春起之苗");
System.out.println("不见其增,日有所长");
System.out.println("假学如磨刀之石");
System.out.println("不见其损,年有所亏");
System.out.println("加油吧!少年");
// 控制台输出任意5行字符类型常量值
System.out.println('J');
System.out.println('A');
System.out.println('V');
System.out.println('A');
System.out.println('!');
}
}
``` ## 第二题 * 按步骤编写代码,效果如图所示: ![](img\2.jpg) * 编写步骤: 1. 定义类 Test2
2. 定义 main方法
3. 控制台输出5行整数类型常量值
4. 控制台输出5行小数类型常量值 * 参考答案: ```java
public class Test2 {
public static void main(String[] args) {
// 控制台输出任意5行整数类型常量值
System.out.println(-2147483648);
System.out.println(-100);
System.out.println(0);
System.out.println(100);
System.out.println(2147483647); // 控制台输出任意5行小数类型常量值
System.out.println(-100.0);
System.out.println(-10.0);
System.out.println(0.0);
System.out.println(10.9);
System.out.println(100.9); }
} ``` ## 第三题 - 按步骤编写代码,效果如图所示: ![](img\3.jpg) - 编写步骤: 1. 定义类 Test3
2. 定义 main方法
3. 控制台输出所有布尔类型常量值 - 参考答案: ```java
public class Test3 {
public static void main(String[] args) {
// 控制台输出所有布尔类型常量值
System.out.println(true);
System.out.println(false);
}
} ``` ## 第四题 - 按步骤编写代码,效果如图所示: ![](img\4.jpg) - 编写步骤: 1. 定义类 Test4
2. 定义 main方法
3. 定义2个 byte类型变量,分别赋byte类型范围内最大值和最小值,并输出在控制台.
4. 定义2个 short类型变量,分别赋short类型范围内的值,并输出在控制台.
5. 定义2个 int类型变量,分别赋int类型范围内的值,并输出在控制台.
6. 定义2个 long类型变量,分别赋超过int类型范围的值,并输出在控制台. - 参考答案: ```java
public class Test4 {
public static void main(String[] args) {
// 定义2个 byte类型变量,分别赋byte类型范围内最大值和最小值,并输出在控制台.
byte num1 = -128;
byte num2 = 127;
System.out.println(num1);
System.out.println(num2); // 定义2个 short类型变量,分别赋short类型范围内的值,并输出在控制台.
short num3 = -32768;
short num4 = 32767;
System.out.println(num3);
System.out.println(num4); // 定义2个 int类型变量,分别赋int类型范围内的值,并输出在控制台.
int num5 = -2147483648;
int num6 = 2147483647;
System.out.println(num5);
System.out.println(num6); // 定义2个 long类型变量,分别赋超过int类型范围的值,并输出在控制台.
long num7 = -2147483649L;
long num8 = 2147483648L;
System.out.println(num7);
System.out.println(num8);
}
}
``` ## 第五题 - 按步骤编写代码,效果如图所示: ![](img\5.jpg) * 编写步骤:
1. 定义类 Test5
2. 定义 main方法
3. 定义2个 float类型变量,分别赋值,并输出在控制台.
4. 定义2个 double类型变量,分别赋值,并输出在控制台. * 参考答案: ```java
public class Test5 {
public static void main(String[] args) {
// 定义2个 float类型变量,分别赋值,并输出在控制台.
float num1 = -3.14F;
float num2 = 3.14F;
System.out.println(num1);
System.out.println(num2); // 定义2个 double,分别赋值,并输出在控制台.
double num3 = -3.4;
double num4 = 3.4;
System.out.println(num3);
System.out.println(num4);
}
}
``` ## 第六题 - 按步骤编写代码,效果如图所示: ![](img\6.jpg) - 编写步骤: 1. 定义类 Test6
2. 定义 main方法
3. 定义5个 char类型变量,分别赋值,并输出在控制台.
4. 定义2个 boolean类型变量,分别赋值,并输出在控制台. * 参考答案: ```java
public class Test6 {
public static void main(String[] args) {
// 定义5个 char类型变量,分别赋值,并输出在控制台.
char ch1 = '9';
char ch2 = 'J';
char ch3 = 'a';
char ch4 = ' ';
char ch5 = '@'; System.out.println(ch1);
System.out.println(ch2);
System.out.println(ch3);
System.out.println(ch4);
System.out.println(ch5);
// 定义2个 boolean类型变量,分别赋值,并输出在控制台.
boolean b1 = true;
boolean b2 = false; System.out.println(b1);
System.out.println(b2);
}
}
``` ## 第七题 - 按步骤编写代码,效果如图所示: ![](img\7.jpg) - 步骤图解: ![](img\71.jpg) - 开发提示:定义变量不赋值的格式 ```java
// 数据类型 变量名 ;
int temp;
``` - 编写步骤: 1. 定义类 Test7
2. 定义 main方法
3. 定义两个整数变量a,b并赋值
4. 控制台输出变量a,b互换前的值
5. 定义一个第三方变量temp,不赋值
6. 利用第三方变量temp使a,b的值互换
7. 控制台输出变量a,b互换后的值 - 参考答案: ```java
public class Test7 {
public static void main(String[] args) {
// 定义两个整数变量a,b并赋值
int a = 10;
int b = 20;
// 控制台输出变量a,b的值
System.out.println("互换前:");
System.out.println(a);
System.out.println(b);
// 定义一个第三方变量,不赋值.
int temp;
// 利用第三方变量,是a,b的值互换.
temp = a ;
a = b;
b = temp; // 控制台输出变量a,b的互换后的值.
System.out.println("互换后:");
System.out.println(a);
System.out.println(b);
}
}
```
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